{"id":"W2954611614","doi":"10.1109/bloc.2019.8751484","title":"On Public Decentralized Ledger Oracles via a Paired-Question Protocol","year":2019,"lang":"en","type":"article","venue":"","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Oracle; Computer science; Protocol (science); Blockchain; Ledger; Computer security; Nash equilibrium; Random oracle; Voting; Process (computing); Simple (philosophy); Cryptographic protocol; Database; Public-key cryptography; Cryptography; Software engineering; Encryption; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007602778,0.000758033,0.001126572,0.000856156,0.001516196,0.003263476,0.002400471,0.00229632,0.009807636],"category_scores_gemma":[0.01527603,0.0006062002,0.0006420855,0.001301661,0.004520376,0.008942273,0.007399703,0.002800759,0.0015465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527718,"about_ca_system_score_gemma":0.002173203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001307107,"about_ca_topic_score_gemma":0.00135539,"domain_scores_codex":[0.9941424,0.002888496,0.0002702209,0.0007369334,0.001443667,0.0005182535],"domain_scores_gemma":[0.989689,0.005791411,0.0005875262,0.002653529,0.0008040986,0.0004743055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005194825,0.000127945,0.0003712172,0.00009003001,0.00002455882,0.0003788631,0.0006666958,0.04364557,0.003809115,0.9200205,0.001498528,0.02884752],"study_design_scores_gemma":[0.0002352457,0.0001898357,0.0001344601,0.00006065974,0.00003251648,0.0001464564,0.0001251275,0.3272117,0.009307441,0.6513069,0.01118555,0.00006420395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.052083,0.0001513157,0.9171584,0.001400437,0.00009925153,0.0005956213,0.0001826075,0.0008743285,0.0274551],"genre_scores_gemma":[0.8506845,0.0002863073,0.1281686,0.0003203732,0.0001074742,0.0007325389,0.000247528,0.0001724464,0.01928023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009807636,"threshold_uncertainty_score":0.0402078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01214557758490327,"score_gpt":0.2646437465955414,"score_spread":0.2524981690106382,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}